33 repository-uri
Strategies for managing multiple versions of an API interface within a single application.
Distinguishing note: No existing candidates; focuses on global versioning schemes.
Explore 33 awesome GitHub repositories matching web development · API Versioning. Refine with filters or upvote what's useful.
Developer Roadmap este o platformă condusă de comunitate care oferă căi de învățare structurate, bazate pe grafuri, pentru ingineria software. Servește drept repository cuprinzător de cunoștințe unde domeniile tehnice sunt organizate în secvențe vizuale pentru a ghida dobândirea competențelor profesionale și creșterea în carieră. Proiectul se distinge printr-un ecosistem colaborativ care permite utilizatorilor să contribuie cu roadmap-uri, să cureție cele mai bune practici din industrie și să mențină profiluri profesionale. Acesta integrează framework-uri de evaluare diagnostică pentru a evalua competența tehnică, ajutând dezvoltatorii să identifice lacunele de cunoștințe și să se pregătească pentru interviurile profesionale prin secvențe de învățare țintite. Dincolo de capabilitățile sale de bază de mapare, platforma oferă idei practice de proiecte și tutorat interactiv pentru a consolida conceptele de inginerie. Oferă un spațiu centralizat pentru ca comunitatea să partajeze resurse, să urmărească dezvoltarea progresivă a competențelor și să navigheze prin peisaje tehnice complexe.
Provides strategies for managing multiple versions of an API interface.
Django REST Framework is a toolkit for building standards-compliant web services that map complex data models to structured HTTP responses. It provides a modular architecture for handling the request lifecycle, including authentication, permission checks, and content negotiation. The framework is designed to facilitate the development of robust APIs by transforming complex data types into native formats and validating incoming request payloads against defined schemas. The project distinguishes itself through a highly modular, class-based design that allows developers to build complex views an
Maintains backward compatibility by supporting multiple API iterations within the same application.
FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone
Maintains multiple implementations of tools, resources, or prompts under a single identifier to support concurrent versions.
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Supports strategies for managing multiple versions of an API interface within a single application.
Sanic is an asynchronous Python web framework designed for building high-performance APIs and services. It operates as a production-ready ASGI web server, utilizing a non-blocking event loop to handle concurrent requests and maximize throughput. The framework is built to support scalable architectures, offering built-in worker process management to distribute traffic across available CPU cores. What distinguishes Sanic is its focus on modularity and developer-centric tooling. It features a blueprint-based system for organizing complex applications into pluggable components, alongside a robust
Provides built-in support for API versioning at the route, group, or application level.
Bit is a component-based development platform and monorepo orchestrator used to build, manage, and share reusable software components across projects. It functions as a system for modular software architecture, providing a component registry for publishing and distributing independent software modules via remote scopes. The platform distinguishes itself through lane-based versioning, which isolates feature development into parallel tracks for comparison and merging. It utilizes a scope-based namespace registry to organize components into hierarchical groups and employs environment-driven comp
Allows creating an independent copy of a component while maintaining an optional reference to the original version.
FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database engine that ensures strict serializability and data consistency across a cluster of servers using a shared-nothing architecture. The system is distinguished by its multi-region replication capabilities, allowing data to be synchronized across different datacenters for high availability and disaster recovery. It utilizes optimistic concurrency control to manage distributed transactions and employs a majority-based coordination system to maintain cluster state. The platform provides
Encapsulates interface versions so servers and libraries can be upgraded without requiring changes to existing client code.
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
Exposes dedicated endpoints for both InfluxDB v1 and v2 HTTP APIs to allow seamless integration.
TinaCMS is a headless content management framework that bridges local Git-based file storage with a visual, in-context editing interface. By treating your repository as the single source of truth, it enables developers to manage content as structured data files while providing editors with a browser-based dashboard to modify website content directly within a live preview. The framework distinguishes itself by transforming local files into a unified GraphQL API, which powers both the administrative interface and the application's data retrieval layer. This architecture allows for compile-time
Manages API versioning to ensure compatibility between site schemas and cloud API releases.
This project provides a TypeScript software development kit for the Model Context Protocol, a standard designed to facilitate bidirectional communication between AI applications and external data sources or tools. It serves as a foundational framework for building both clients and servers, enabling language models to interact with external systems through a unified, decoupled interface. The SDK distinguishes itself by implementing a transport-agnostic connection layer that supports both local standard input-output streams and remote HTTP endpoints. It utilizes a JSON-RPC message bus to manage
Coordinates compatible communication versions to ensure both parties support the same standards.
This framework serves as a bridge between backend services and AI agents by implementing the Model Context Protocol. It enables developers to expose existing application logic and web endpoints as standardized tools, allowing AI models to discover, interact with, and execute backend functions through a unified interface. The project distinguishes itself by automatically converting application request and response models into protocol-compliant schemas, ensuring that AI agents receive accurate functional context. It supports a transport-agnostic architecture that facilitates real-time bidirect
Exposes dedicated endpoints for legacy assistant compatibility using server-sent events.
This project provides a standardized RESTful API for accessing comprehensive aerospace mission records and space exploration data. It serves as a structured interface for retrieving historical and upcoming launch details, hardware specifications, and media assets, while also providing real-time tracking for satellite orbital paths. The service distinguishes itself through a robust architecture designed for high-performance data retrieval. It utilizes in-memory response caching to reduce latency and server load, alongside query-parameter-based filtering that allows users to precisely control t
Supports endpoint versioning to pin specific releases and maintain backward compatibility for API integrations.
Grape is a RESTful web service framework for Ruby designed for building structured APIs. It provides a declarative syntax for routing and parameter validation, allowing developers to map HTTP verbs to logic through a domain specific language. The framework is distinguished by its built-in support for service versioning, which can be managed via URL paths, custom headers, or request parameters. It also features a modular architecture that allows large services to be constructed by nesting smaller API definitions. The project covers comprehensive API lifecycle capabilities, including schema-dr
Supports multiple concurrent API versions managed via URL paths, request parameters, or custom headers.
This is a framework for building standardized RESTful APIs within Laravel and Lumen applications. It provides a structured environment for developing web services with integrated routing, request handling, and versioning. The project distinguishes itself through a multi-adapter authentication system that validates identities via various schemes and third-party providers. It features a dedicated response transformation layer to convert raw database models into consistent output structures and an internal dispatcher that allows application logic to trigger API endpoints without external network
Implements strategies for managing multiple concurrent versions of an API to prevent breaking client integrations.
Kubebuilder is a framework and set of scaffolding tools used to build Kubernetes APIs and controllers. It functions as an operator framework that provides generators for custom resource definitions, admission webhooks, and RBAC manifests to extend cluster functionality. The project distinguishes itself through marker-based code generation, which parses source code comments to automatically produce Kubernetes manifests and boilerplate logic. It employs a hub-and-spoke versioning model to translate data between multiple API versions and uses a three-way merge strategy to automate project migrat
Transforms resource data between API versions using a hub-and-spoke model to maintain compatibility.
Wraps SageMaker endpoints with a scikit-learn-compatible interface for model operations.
NSwag is an OpenAPI toolchain for .NET that provides a suite of generators for converting OpenAPI specifications and JSON schemas into clients, server stubs, and structured documentation. It enables the creation of type-safe client libraries and data transfer objects, as well as the generation of OpenAPI specifications by analyzing .NET controllers. The project supports contract-first API development by generating server controller stubs from specifications and offers dedicated TypeScript API integration to ensure type safety in frontend applications. It also provides tools for hosting intera
Supports grouping operations into distinct documents based on versioning settings for multiple concurrent API versions.
Hug is a type-driven Python web framework designed for building APIs. It uses Python type annotations to automatically validate and convert incoming request data and to format outgoing responses. The framework functions as an automated documentation tool by extracting function signatures and markers from source code to generate accessible API specifications. It also supports non-blocking coroutines for asynchronous API processing to handle background tasks without interrupting the main request cycle. The project provides capabilities for REST API development, including route mapping, endpoin
Supports routing requests to different API versions via URL paths or headers.
Hug is a Python API framework used for building web services by mapping functions to HTTP endpoints via decorators and type annotations. It functions as a type-based validator that automatically converts and validates incoming request data based on Python type hints and serves as a WSGI-compliant web framework for deployment on production servers. The project is distinguished by its ability to automatically generate API specifications and user-facing documentation derived from function signatures. It further extends the utility of internal logic by exposing functions as terminal commands thro
Supports API versioning via URL paths and HTTP headers by assigning version ranges to endpoints.
kube-state-metrics is a Kubernetes metrics exporter that generates Prometheus-compatible metrics from the current state of cluster objects such as pods, deployments, and nodes. It operates by watching the Kubernetes API server and transforming resource snapshots into metric families, which are then exposed over an HTTP endpoint in the Prometheus text-based exposition format for direct scraping. The project distinguishes itself through horizontal scaling capabilities, distributing metric collection across multiple instances using object UID hashing to reduce per-instance memory consumption. It
Intercepts requests for a resource across different API groups or versions using equivalent matching.